About
A 24/7 Enthusiast/Experimentalist who feels knowledge and learning in this world are endless. Trying to find a role to unleash the true potential of self in this world with diverse interests. Devoted to proving worth for self and organization. Self-Propelled Learner pursuing the challenges and learnings in field with continuous commitment and dedication.
Software Developer & Cloud Architect
Having Technical Exposure in client facing environments, with an experience of nearly 4 years in diverse domains especially in Health Care and Pharmaceutical, developing various end to end applications using Technology and managing multiple people and teams to solve critical organizational problems.
- Website: www.yaswanthjagilanka.com
- City: Charlotte, NC
- Degree: Masters
- Email: yaswanthjagilanka@gmail.com
- Freelance: Available
Known for my interest towards AI in audio/music and solving challenging ML problems using various classification techniques and applying neural network architectures like CNN, LSTM based on the requirement of the problem. My excellent presentation and articulation skills together with the knowledge in technology domain brings a complete package of self.
Skills
Resume
Seasoned AWS/Azure Certified Solutions Architect (10+ years) with a deep understanding of AI/ML model deployment, migrating large-scale on-premises environments to multi-cloud (AWS, Azure, GCP) with a focus on cost optimization, high availability, and enterprise-grade security.
Summary
YASWANTH JAGILANKA
AI ML DevSecOps Engineer with 10+ years of experience.
- (716)-730-0751
- Charlotte, NC 28262
- Yaswanth.jagilanka@gmail.com
Education
Masters in Computer and Information Sciences
Dec 2023
University at Buffalo, SUNY, Buffalo
Bachelor of Technology
May 2016
National Institute of Technology, Bhopal, India
Professional Experience
AI ML DevSecOps Engineer
Feb 2023 - Present
Discount Tire, Charlotte, NC
- Architected highly available and scalable AWS cloud infrastructure, optimizing resource allocation and cost-efficiency for AI/ML workloads across all SDLC Environments.
- Spearheaded the creation, management, and scaling of Kubernetes clusters across various environments, maintaining robust performance and availability.
- Orchestrated comprehensive CI/CD pipelines using Jenkins and Argo CD, enabling rapid and reliable software delivery with automated testing frameworks using AI capabilities and auto alerts.
- Integrated GPU compute environments to support AI workloads, configuring NVIDIA drivers, CUDA/cuDNN libraries, and Docker runtimes for ML and HPC workloads, improving performance for real-time inference.
Solutions Engineer (AI/CloudOps)
Aug 2022 - Dec 2022
RADCOM, New Jersey
- Working with Design and Implementation of Network Monitoring Applications in real time using vProbe and VerticaDB cluster for massive scale telecom systems with clients like AT&T, Dish etc.
- Architected and Implemented LLM based impact discovery module using crew.ai and LangGraph enabling workflows to identify mishaps in configuration and logs to alerts monitoring dashboard/trigger pager duty.
Software Developer (AI/CloudOps)
Mar 2022 - Jul 2022
Quantile Inc., New York, NY
- Achieved 75% reduction in time for the compression report generation, by implementing parallel serverless computation using AWS Lambda.
- Evaded manual intervention by implementing event driven data validation system using AWS SQS, S3 triggers, Lambda and Redshift in real time on data upload.
AI Software Engineer
May 2019 - Jul 2021
IQVIA, Kochi
- Technical Lead for Promotional Mix Modelling: Lead a greenfield ML software project from development to production.
- Developed an NLP system to detect and cross-reference PubMed research papers using BERT and Sentence Transformers for semantic vector generation.
- Innovated Enterprise level architecture with Platform, Environment, Tenant based design.
- Co-ordinated/Built team of 20+ from scratch including recruitment and training.
Software Engineer 1
Aug 2016 - Apr 2019
Vodafone Idea, Kochi
- Attained saving of 6-man hours per day by spearheading application development and deployment for network monitoring and maintenance.
- Developed, Versioned and deployed slope intercept models for traffic prediction during off peak and on peak hours.
- Have performed O&M of core switches and new implementations to connect various blocks in network.
Portfolio
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- All
- App
- AI/ML
- Utils
Contact
Location:
Charlotte, NC 28262
Email:
yaswanthjagilanka@gmail.com